Run
18871

Run 18871

Task 53 (Supervised Classification) vehicle Uploaded 11-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LADTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(1)_I20
weka.Bagging_LADTree(1)_P100
weka.Bagging_LADTree(1)_S1
weka.Bagging_LADTree(1)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(1)_num-slots1
weka.LADTree(1)_B10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6982
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6219
Cross-validation details (10-fold Crossvalidation)
KB relative information score
484.2365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7163
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7163
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5349
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2969
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6859
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.5267[567.23271965926381014.7208839634673483.6674820550281909.59057174132591767.4217034453668]